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Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

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I'm running this code and it's working great! But I noticed that epoch has 1024 and I've run 110 of them now, each taking about a minute, will the program...

Previously running this on pytorch 1.11.0 failed with `RuntimeError: "nll_loss_forward_reduce_cuda_kernel_2d_index" not implemented for 'Int'`. After converting training labels to long (which is not for some reason a requirement), I ran...

I revised the original train.py. I am a new guy in this field, therefore any suggestions are welcomed! Check README_customized_data.md to see the training process. The updated train_SSL.py allows training...

Hi Thanks for the great repo. I'm wondering in the line below, why do we need .detach(), isn't that the targets_u is already in the scope of torch.no_grad()? https://github.com/YU1ut/MixMatch-pytorch/blob/cc7ef42cffe61288d06eec1428268b384674009a/train.py#L235

According to the paper, there's a set of labelled and unlabelled datapoints that are mixed. In the code nevertheless there are two unlabelled sets, u1 and u2. Both of them...

Hi, Thanks for the great repository! Please tell what is interleave function doing in the code? It is not clear from the code itself and there is nothing mentioned about...

Hello, I replace your data augmentation function (`RandomPadandCrop`, `RandomFlip`) with pytorch augmenation function (`RandomCrop`, `RandomHorizontalFlip`). But the performance declines from 94% to 66%. My data augmantion code is as follow:...

I tried to apply it to my own dataset, but it didn't work because unmarked data had to be enhanced twice. Thank you very much for who can help me